Triple

T10545239
Position Surface form Disambiguated ID Type / Status
Subject Hakuba Valley E248799 entity
Predicate hasSkiResort P1981 FINISHED
Object Happo-One
Happo-One is a major ski resort in Japan’s Northern Alps, renowned for its extensive slopes, deep powder, and role as a venue during the 1998 Nagano Winter Olympics.
 E869968 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Happo-One | Statement: [Hakuba Valley, hasSkiResort, Happo-One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Happo-One
Context triple: [Hakuba Valley, hasSkiResort, Happo-One]
  • A. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • B. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • C. Opañel
    Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
  • D. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • E. Hanacaraka
    Hanacaraka is the traditional Javanese writing system used historically on the island of Java for literary, religious, and everyday texts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Happo-One
Triple: [Hakuba Valley, hasSkiResort, Happo-One]
Generated description
Happo-One is a major ski resort in Japan’s Northern Alps, renowned for its extensive slopes, deep powder, and role as a venue during the 1998 Nagano Winter Olympics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Happo-One
Target entity description: Happo-One is a major ski resort in Japan’s Northern Alps, renowned for its extensive slopes, deep powder, and role as a venue during the 1998 Nagano Winter Olympics.
  • A. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • B. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • C. Opañel
    Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
  • D. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • E. Hanacaraka
    Hanacaraka is the traditional Javanese writing system used historically on the island of Java for literary, religious, and everyday texts.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d519128cac819086c93f3bab854ac2 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9343c5c308190952596e5254b6a65 completed April 10, 2026, 5:32 p.m.
NEDg Description generation batch_69d938c8b25c8190bb048053d8668e5c completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d939b1844881908c8fbcb9488863f6 completed April 10, 2026, 5:56 p.m.
Created at: April 6, 2026, 12:33 p.m.